Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
6,145
result(s) for
"American Sign Language"
Sort by:
The kids' guide to sign language
\"Step-by-step instructions show how to perform useful phrases using American Sign Language\"--Provided by publisher.
Book
Grammar, Gesture, and Meaning in American Sign Language
In sign languages of the deaf some signs can meaningfully point toward things or can be meaningfully placed in the space ahead of the signer. This obligatory part of fluent grammatical signing has no parallel in vocally produced languages. This book focuses on American Sign Language to examine the grammatical and conceptual purposes served by these directional signs. It guides the reader through ASL grammar, the different categories of directional signs, the types of spatial representations signs are directed toward, how such spatial conceptions can be represented in mental space theory, and the conceptual purposes served by these signs. The book demonstrates a remarkable integration of grammar and gesture in the service of constructing meaning. These results also suggest that our concept of 'language' has been much too narrow and that a more comprehensive look at vocally produced languages will reveal the same integration of gestural, gradient, and symbolic elements.
eBook
Multi-Stream General and Graph-Based Deep Neural Networks for Skeleton-Based Sign Language Recognition
Sign language recognition (SLR) aims to bridge speech-impaired and general communities by recognizing signs from given videos. However, due to the complex background, light illumination, and subject structures in videos, researchers still face challenges in developing effective SLR systems. Many researchers have recently sought to develop skeleton-based sign language recognition systems to overcome the subject and background variation in hand gesture sign videos. However, skeleton-based SLR is still under exploration, mainly due to a lack of information and hand key point annotations. More recently, researchers have included body and face information along with hand gesture information for SLR; however, the obtained performance accuracy and generalizability properties remain unsatisfactory. In this paper, we propose a multi-stream graph-based deep neural network (SL-GDN) for a skeleton-based SLR system in order to overcome the above-mentioned problems. The main purpose of the proposed SL-GDN approach is to improve the generalizability and performance accuracy of the SLR system while maintaining a low computational cost based on the human body pose in the form of 2D landmark locations. We first construct a skeleton graph based on 27 whole-body key points selected among 67 key points to address the high computational cost problem. Then, we utilize the multi-stream SL-GDN to extract features from the whole-body skeleton graph considering four streams. Finally, we concatenate the four different features and apply a classification module to refine the features and recognize corresponding sign classes. Our data-driven graph construction method increases the system’s flexibility and brings high generalizability, allowing it to adapt to varied data. We use two large-scale benchmark SLR data sets to evaluate the proposed model: The Turkish Sign Language data set (AUTSL) and Chinese Sign Language (CSL). The reported performance accuracy results demonstrate the outstanding ability of the proposed model, and we believe that it will be considered a great innovation in the SLR domain.
Journal Article
American sign language level 1 assessment: What is out there?
American Sign Language (ASL) education is a relatively new field. Thus, further research is necessary, especially regarding developing assessment tools. The goal of this study was to determine the types of assessment tools ASL level 1 teachers use in the classroom and how those teachers measure students' language progression. This study is critical because no standard ASL level 1 assessment tool measures students' skill levels to advance to the next level. The survey was created to build a better understanding of what tools ASL instructors use to assess their students' language performance. Data were collected from 93 ASL level 1 teachers. The results demonstrated a need for additional training for ASL teachers to improve their knowledge of language assessments and skills in using assessment tools, especially to support ASL students' language progress and proficiency. The results of this study provide suggestions for future assessment tools to increase the effectiveness of ASL programs across the United States. The Challenge American Sign Language (ASL) is the third most studied language in the United States; however, the types of assessment tools used in ASL classrooms remains unclear. Thus, this study investigated the types of assessments that ASL instructors use to enhance ASL performance results.
Journal Article
A historical and etymological dictionary of American Sign Language : the origin and evolution of more than 500 signs
\"Utilizing 1,150 sign illustrations and historical texts, this reference presents the detailed account of the origins of more than 500 ASL signs, including regional variations\"-- Provided by publisher.
Book
Reflections on the Early Days of Sign Language Research
In the spirit of the theme of this special issue, I’m going to focus largely on my experiences prior to 1980.
Journal Article
American Sign Language for dummies
\"Grasp the rich culture and language of the Deaf community To see people use American Sign Language (ASL) to share ideas is remarkable and fascinating to watch. Now, you have a chance to enter the wonderful world of sign language. American Sign Language For Dummies offers you an easy-to-access introduction so you can get your hands wet with ASL, whether you're new to the language or looking for a great refresher. Used predominantly in the United States, ASL provides the Deaf community with the ability to acquire and develop language and communication skills by utilizing facial expressions and body movements to convey and process linguistic information. With American Sign Language For Dummies, the complex visual-spatial and linguistic principles that form the basis for ASL are broken down, making this a great resource for friends, colleagues, students, education personnel, and parents of Deaf children. Grasp the various ways ASL is communicated Get up to speed on the latest technological advancements assisting the Deaf Understand how cultural background and regionalism can affect communication Practice signing with videos online If you want to get acquainted with Deaf culture and understand what it's like to be part of a special community with a unique shared and celebrated history and language, American Sign Language For Dummies gets you up to speed on ASL fast.\"--Amazon.com description.
Book
Starting Sign Language Research from Scratch
Rachel Mayberry, a linguistics professor and director of the MultiModal Language Development Lab at the University of CA San Diego, reflects on her early experiences in sign language research. She describes the physical labor involved in conducting research before the digital age, such as searching for books and journals in the library and using reel-to-reel and cassette recorders for videotaping. Mayberry shares her first sign language experiment, comparing concreteness ratings for English words with iconicity ratings for their ASL translations. She also discusses the teachers and scholars who supported her along the way, including Richard Silverman, who encouraged her to pursue sign language research. Mayberry highlights the importance of sign language and the challenges faced by deaf individuals in communication. She concludes by discussing her doctoral research on ASL comprehension and the critical period for language acquisition.
Journal Article